Gene profiling, biomarkers and pathways characterizing HCV-related hepatocellular carcinoma

Valeria De Giorgi, Alessandro Monaco, Andrea Worchech, Maria Lina Tornesello, Francesco Izzo, Luigi Buonaguro, Francesco M. Marincola, Ena Wang, Franco M. Buonaguro

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Background: Hepatitis C virus (HCV) infection is a major cause of hepatocellular carcinoma (HCC) worldwide. The molecular mechanisms of HCV-induced hepatocarcinogenesis are not yet fully elucidated. Besides indirect effects as tissue inflammation and regeneration, a more direct oncogenic activity of HCV can be postulated leading to an altered expression of cellular genes by early HCV viral proteins. In the present study, a comparison of gene expression patterns has been performed by microarray analysis on liver biopsies from HCV-positive HCC patients and HCV-negative controls. Methods: Gene expression profiling of liver tissues has been performed using a high-density microarray containing 36'000 oligos, representing 90% of the human genes. Samples were obtained from 14 patients affected by HCV-related HCC and 7 HCV-negative non-liver-cancer patients, enrolled at INT in Naples. Transcriptional profiles identified in liver biopsies from HCC nodules and paired non-adjacent non-HCC liver tissue of the same HCV-positive patients were compared to those from HCV-negative controls by the Cluster program. The pathway analysis was performed using the BRB-Array- Tools based on the "Ingenuity System Database". Significance threshold of t-test was set at 0.001. Results: Significant differences were found between the expression patterns of several genes falling into different metabolic and inflammation/immunity pathways in HCV-related HCC tissues as well as the non-HCC counterpart compared to normal liver tissues. Only few genes were found differentially expressed between HCV-related HCC tissues and paired non-HCC counterpart. Conclusion: In this study, informative data on the global gene expression pattern of HCV-related HCC and non-HCC counterpart, as well as on their difference with the one observed in normal liver tissues have been obtained. These results may lead to the identification of specific biomarkers relevant to develop tools for detection, diagnosis, and classification of HCV-related HCC.

Original languageEnglish
Article number1479
Pages (from-to)85
Number of pages1
JournalJournal of Translational Medicine
Volume7
DOIs
Publication statusPublished - 12 Oct 2009
Externally publishedYes

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Biomarkers
Viruses
Hepacivirus
Hepatocellular Carcinoma
Genes
Liver
Tissue
Gene expression
Carcinoma
Biopsy
Microarrays
Gene Expression
Inflammation
Gene Expression Profiling
Viral Proteins
Virus Diseases
Microarray Analysis
Regeneration
Immunity

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

De Giorgi, V., Monaco, A., Worchech, A., Tornesello, M. L., Izzo, F., Buonaguro, L., ... Buonaguro, F. M. (2009). Gene profiling, biomarkers and pathways characterizing HCV-related hepatocellular carcinoma. Journal of Translational Medicine, 7, 85. [1479]. https://doi.org/10.1186/1479-5876-7-85

Gene profiling, biomarkers and pathways characterizing HCV-related hepatocellular carcinoma. / De Giorgi, Valeria; Monaco, Alessandro; Worchech, Andrea; Tornesello, Maria Lina; Izzo, Francesco; Buonaguro, Luigi; Marincola, Francesco M.; Wang, Ena; Buonaguro, Franco M.

In: Journal of Translational Medicine, Vol. 7, 1479, 12.10.2009, p. 85.

Research output: Contribution to journalArticle

De Giorgi, V, Monaco, A, Worchech, A, Tornesello, ML, Izzo, F, Buonaguro, L, Marincola, FM, Wang, E & Buonaguro, FM 2009, 'Gene profiling, biomarkers and pathways characterizing HCV-related hepatocellular carcinoma', Journal of Translational Medicine, vol. 7, 1479, pp. 85. https://doi.org/10.1186/1479-5876-7-85
De Giorgi, Valeria ; Monaco, Alessandro ; Worchech, Andrea ; Tornesello, Maria Lina ; Izzo, Francesco ; Buonaguro, Luigi ; Marincola, Francesco M. ; Wang, Ena ; Buonaguro, Franco M. / Gene profiling, biomarkers and pathways characterizing HCV-related hepatocellular carcinoma. In: Journal of Translational Medicine. 2009 ; Vol. 7. pp. 85.
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abstract = "Background: Hepatitis C virus (HCV) infection is a major cause of hepatocellular carcinoma (HCC) worldwide. The molecular mechanisms of HCV-induced hepatocarcinogenesis are not yet fully elucidated. Besides indirect effects as tissue inflammation and regeneration, a more direct oncogenic activity of HCV can be postulated leading to an altered expression of cellular genes by early HCV viral proteins. In the present study, a comparison of gene expression patterns has been performed by microarray analysis on liver biopsies from HCV-positive HCC patients and HCV-negative controls. Methods: Gene expression profiling of liver tissues has been performed using a high-density microarray containing 36'000 oligos, representing 90{\%} of the human genes. Samples were obtained from 14 patients affected by HCV-related HCC and 7 HCV-negative non-liver-cancer patients, enrolled at INT in Naples. Transcriptional profiles identified in liver biopsies from HCC nodules and paired non-adjacent non-HCC liver tissue of the same HCV-positive patients were compared to those from HCV-negative controls by the Cluster program. The pathway analysis was performed using the BRB-Array- Tools based on the {"}Ingenuity System Database{"}. Significance threshold of t-test was set at 0.001. Results: Significant differences were found between the expression patterns of several genes falling into different metabolic and inflammation/immunity pathways in HCV-related HCC tissues as well as the non-HCC counterpart compared to normal liver tissues. Only few genes were found differentially expressed between HCV-related HCC tissues and paired non-HCC counterpart. Conclusion: In this study, informative data on the global gene expression pattern of HCV-related HCC and non-HCC counterpart, as well as on their difference with the one observed in normal liver tissues have been obtained. These results may lead to the identification of specific biomarkers relevant to develop tools for detection, diagnosis, and classification of HCV-related HCC.",
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AU - Izzo, Francesco

AU - Buonaguro, Luigi

AU - Marincola, Francesco M.

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AB - Background: Hepatitis C virus (HCV) infection is a major cause of hepatocellular carcinoma (HCC) worldwide. The molecular mechanisms of HCV-induced hepatocarcinogenesis are not yet fully elucidated. Besides indirect effects as tissue inflammation and regeneration, a more direct oncogenic activity of HCV can be postulated leading to an altered expression of cellular genes by early HCV viral proteins. In the present study, a comparison of gene expression patterns has been performed by microarray analysis on liver biopsies from HCV-positive HCC patients and HCV-negative controls. Methods: Gene expression profiling of liver tissues has been performed using a high-density microarray containing 36'000 oligos, representing 90% of the human genes. Samples were obtained from 14 patients affected by HCV-related HCC and 7 HCV-negative non-liver-cancer patients, enrolled at INT in Naples. Transcriptional profiles identified in liver biopsies from HCC nodules and paired non-adjacent non-HCC liver tissue of the same HCV-positive patients were compared to those from HCV-negative controls by the Cluster program. The pathway analysis was performed using the BRB-Array- Tools based on the "Ingenuity System Database". Significance threshold of t-test was set at 0.001. Results: Significant differences were found between the expression patterns of several genes falling into different metabolic and inflammation/immunity pathways in HCV-related HCC tissues as well as the non-HCC counterpart compared to normal liver tissues. Only few genes were found differentially expressed between HCV-related HCC tissues and paired non-HCC counterpart. Conclusion: In this study, informative data on the global gene expression pattern of HCV-related HCC and non-HCC counterpart, as well as on their difference with the one observed in normal liver tissues have been obtained. These results may lead to the identification of specific biomarkers relevant to develop tools for detection, diagnosis, and classification of HCV-related HCC.

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